International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 91 - Number 13 |
Year of Publication: 2014 |
Authors: Zeinab E. Attia, Ahmed M. Gadallah, Hesham A. Hefny |
10.5120/15940-5156 |
Zeinab E. Attia, Ahmed M. Gadallah, Hesham A. Hefny . Semantic Information Retrieval Model: Fuzzy Ontology Approach. International Journal of Computer Applications. 91, 13 ( April 2014), 9-14. DOI=10.5120/15940-5156
The paper proposes a multi-view information retrieval model. The model has the ability to deal with the multi-field topics problem using a predefined multi-field or multi-view fuzzy ontology. Respecting the natural relationship between concepts and terms, the model enhances the recall measure compared with previously proposed fuzzy ontology-based information retrieval models. It also proposes a ranking algorithm that ranks a set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.